Data Science & Analytics

Seyfarth’s Data Science & Analytics practice transforms overwhelming complexity into clarity. By integrating advanced analytics with legal expertise, our data-driven attorneys and data scientists uncover hidden patterns, validate claims, and deliver actionable insights to shape smarter strategies. From fragmented datasets to sophisticated predictive modeling, we equip legal teams with precision tools that turn raw information into a strategic advantage.

In today’s data-saturated and rapidly evolving legal and regulatory landscape, organizations face:

• Difficulty quantifying risk, validating claims, and uncovering patterns hidden in massive datasets.
• Fragmented data sources and manual review processes that slow decision-making and increase risk.
• Escalating litigation and regulatory exposure due to lack of visibility into structured and disjointed data sets.
• Increasing pressure for transparency, speed, and defensibility in legal and compliance workflows.
• Complex data dispersed across legacy systems and modern platforms, making it difficult to connect the dots across payroll, financial, communication, and operational records.
• Increasingly aggressive legal and regulatory developments

Data Science & Analytics leverages your data to enhance legal decision-making at every stage—from early case assessment through trial preparation—and supports proactive compliance, audits, and internal investigations.

HOW WE HELP

We provide end-to-end data support across the lifecycle of a matter—litigation, investigations, compliance, or transactions. Our approach combines coding, advanced analytics, and substantive legal expertise with capabilities which include:

• Early insights to guide litigation strategy, case valuation, and negotiation.
• Analytics that streamline compliance, audits, and internal investigations.
• Visual storytelling that makes complex data accessible and persuasive to decision-makers.
• Finding the “needle in the haystack” facts that shift a case.
• Exposure models that inform settlement strategy and trial posture.
• Detection of anomalies, fraud, or misconduct that traditional data review would miss.
• Automation of repetitive and interrelated analyses with custom-coded solutions, reducing error and cost while increasing reproducibility.
• Presenting insights in persuasive, visual formats that resonate with judges, juries, regulators, and boards.

Unlike many firms, we don’t rely solely on vendor platforms. We write custom code—delivering speed, flexibility, and tailored results for each matter, with solutions that can be repurposed in future engagements.

Our team combines technical expertise with legal judgment to deliver solutions that are defensible, efficient, and tailored to each matter.

What We Deliver

• Advanced Analytics: Applying statistical, machine learning, and predictive modeling to quantify risk, identify patterns, and support strategic decision-making.
• Dynamic Visualizations: Converting complex datasets into clear, persuasive visuals that bring clarity in mediation, trial, and investigations.
• Custom Code Solutions: Using programming languages and related tools to automate workflows, ensure reproducibility, and scale insights across matters.
• Embedded Strategy: Our data science team works directly with litigation and compliance teams, aligning analytics with broader case strategy and Seyfarth’s DATA Law framework.

Where We Focus

• Exposure & Risk Modeling: Measuring damages and potential outcomes to guide early assessment, settlement, and trial preparation.
• Workforce & Compliance Analytics: Reconstructing workdays, validating claims, and surfacing compliance issues through GPS logs, badge data, timecards, payroll, and system activity.
• Interactive Dashboards: Enabling real-time exploration of trends, anomalies, and compliance gaps for both litigation teams and executives.
• Automated, Transparent Workflows: Delivering code-based processes that ensure efficiency, auditability, and scalability across matters.
• Tailored Client Solutions: Adapting our methods to fit each client’s systems, from legacy databases to cloud platforms, to provide defensible, actionable insights.

Who We Serve

Our Data Science & Analytics practice partners with clients across industries whose legal and compliance challenges are bound up in complex data. We most often work with:

• Highly Regulated Industries such as health care, financial services, and insurance, where data-driven compliance and fraud detection are critical.
• Technology, Transportation, and Logistics Companies navigating disputes or investigations where GPS, routing, communications, or system data plays a central role.
• Organizations in Litigation or Regulatory Investigations needing to quantify exposure, validate or challenge claims, and prepare persuasive, defensible evidence.
• Large Employers and National Businesses facing wage-and-hour disputes and compliance challenges requiring the reconstruction of workdays, as well as assessment of pay practices and workforce activity.
• Multi-jurisdictional Enterprises managing fragmented systems and disjointed datasets, where analytics can provide a unified, defensible foundation for decision-making.

THE SEYFARTH EXPERIENCE

What sets Seyfarth apart is not just that we do data science and analytics, but how we do it:

• Law Meets Data Science: Unlike vendors who process data without understanding the law, or lawyers who analyze facts without technical depth, our team brings both disciplines together. We design models, visualizations, and workflows that are legally precise and technically rigorous.
• Custom-Built Solutions: We don’t rely on off-the-shelf software. Our tools are coded in-house, tailored to the client’s data and the legal questions at issue. This ensures defensibility, transparency, and adaptability to novel or complex challenges.
• Embedded in Case Strategy: Our data science team works side-by-side with case teams, transaction teams and compliance teams. This integration ensures analytics are not an afterthought, but a core component of case theory, negotiations, and trial preparation.
• Scalable and Repeatable: By building code-based workflows, we create efficiencies that reduce cost and improve accuracy. Once developed, these solutions can be adapted and reused in future matters—delivering ongoing value.
• Innovating Ahead of the Curve: We are early adopters of machine learning, predictive modeling, and advanced statistical methods for legal applications. That forward-looking approach enables us to spot patterns, risks, and opportunities that others might miss.

COMPLEMENTARY SERVICES

Our Data Science & Analytics practice is part of Seyfarth’s broader DATA Law framework—Digital Asset and Technology Advocacy—which integrates:

• eDiscovery Litigation & Readiness: Delivering proactive, defensible strategies that reduce cost and risk while aligning with records and governance programs.
• Records & Information Governance: Building retention and deletion frameworks that support compliance, litigation readiness, and operational efficiency.
• Privacy Compliance & Litigation: Supporting global privacy compliance, privacy litigation, and navigating emerging issues and claims involving tracking technologies, biometrics, and AI.
• Cybersecurity: Managing breach response, regulatory engagement, and risk mitigation across domestic and international frameworks.
• AI Legal Advisory: Guiding clients through the legal, ethical, and operational implications of generative AI, machine learning, and algorithmic decision-making.

One team. Adaptive strategy. Future-ready.